Senior Data Engineer and DevOps - Remote

Overview

At PeakMetrics, we stand at the forefront of narrative intelligence, harnessing the power of advanced machine learning to safeguard enterprises and government agencies from social media manipulation and narrative attacks. Our platform rapidly sifts through millions of unstructured, cross-channel media datasets, transforming them into actionable insights. By identifying adversarial online messaging, understanding its audience, and providing crucial context such as source credibility, we empower our customers to effectively respond to digital threats.

In Short

• Develop and execute the long-term vision for the organization’s data engineering and DevOps strategies.
• Collaborate with senior leadership to prioritize initiatives, set objectives, and define measurable outcomes.
• Stay ahead of industry trends, tools, and technologies to ensure competitive advantage and efficiency.
• Build, mentor, and lead a diverse team of data engineers and DevOps professionals.
• Foster a culture of innovation, accountability, and collaboration within the team.
• Establish best practices for performance management, career development, and skills growth.
• Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks.
• Drive the implementation of best practices in data governance, quality, and security.
• Ensure the availability, reliability, and performance of data systems.
• Lead the adoption of modern DevOps methodologies to streamline CI/CD pipelines and deployment processes.

Requirements

• 13+ years of experience in engineering, with at least 5+ years in data engineering, data ops, or related roles.
• Proven experience in designing and implementing data architectures, ETL processes, and DevOps pipelines.
• Expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native solutions.
• Strong understanding of data governance, security, and compliance standards (e.g., GDPR, HIPAA).
• Proficiency in programming and scripting languages (e.g., Python, Java, Bash).
• Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, Jenkins, or similar.
• Track record of successfully managing and scaling high-performing technical teams.
• Experience with big data technologies (e.g., Kafka).
• Familiarity with ML/AI infrastructure and frameworks.
• Hands-on experience with both relational and non-relational databases (e.g., SQL, NoSQL).

Benefits

• Remote-first culture
• Health insurance, 401(k) and other benefits
• Flexible work schedule and unlimited time off
• Opportunities for professional growth and development
• A vibrant and inclusive company culture